ArticleScientific reports2016
A joint analysis of transcriptomic and metabolomic data uncovers enhanced enzyme-metabolite coupling in breast cancer.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07586891 (A Randomized, Double-Blind, Single-Center, Exploratory Study With Parallel Controls on the Safety and Efficacy of Neoadjuvant Low Branched-Chain Amino Acid Diet in Combination With Anti-PD-1 Monoclonal Antibody for Stage III Melanoma), which is not on this map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Randomized, Double-Blind, Single-Center, Exploratory Study With Parallel Controls on the Safety and Efficacy of Neoadjuvant Low Branched-Chain Amino Acid Diet in Combination With Anti-PD-1 Monoclonal Antibody for Stage III Melanoma
Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.
- A multimodal atlas of tumour metabolism reveals the architecture of gene-metabolite covariation.Nature metabolism · 2023Pooled it
- Plasma and Urine Metabolite Profiles Impacted by Increased Dietary Navy Bean Intake in Colorectal Cancer Survivors: A Randomized-Controlled Trial.Cancer prevention research (Philadelphia, Pa.) · 2021Trial
- Guardians in the Gut: Mechanistic Insights into a Hidden Ally Against Triple-Negative Breast Cancer.Cancers · 2025Review
- Review
- Prediction of Composite Clinical Outcomes for Childhood Neuroblastoma Using Multi-Omics Data and Machine Learning.International journal of molecular sciences · 2024Article
- Review
- Review
- MoNETA: MultiOmics Network Embedding for SubType Analysis.NAR genomics and bioinformatics · 2024Article
- Cytostatic Bacterial Metabolites Interfere with 5-Fluorouracil, Doxorubicin and Paclitaxel Efficiency in 4T1 Breast Cancer Cells.Molecules (Basel, Switzerland) · 2024Article
- Artificial intelligence unifies knowledge and actions in drug repositioning.Emerging topics in life sciences · 2021Review
- The involvement of oncobiosis and bacterial metabolite signaling in metastasis formation in breast cancer.Cancer metastasis reviews · 2021Review
- Incorporating Machine Learning into Established Bioinformatics Frameworks.International journal of molecular sciences · 2021Review
- Article
- Multi-omics approaches in cancer research with applications in tumor subtyping, prognosis, and diagnosis.Computational and structural biotechnology journal · 2021Review
- Article
- Article
- Aquaporin-7 Regulates the Response to Cellular Stress in Breast Cancer.Cancer research · 2020Article
- Article
- Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources.Metabolites · 2020Review
- Integration of Metabolomic and Other Omics Data in Population-Based Study Designs: An Epidemiological Perspective.Metabolites · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 6 institutions in 2 countries.
Funding
Abstract
Disrupted regulation of cellular processes is considered one of the hallmarks of cancer. We analyze metabolomic and transcriptomic profiles jointly collected from breast cancer and hepatocellular carcinoma patients to explore the associations between the expression of metabolic enzymes and the levels of the metabolites participating in the reactions they catalyze. Surprisingly, both breast cancer and hepatocellular tumors exhibit an increase in their gene-metabolites associations compared to noncancerous adjacent tissues. Following, we build predictors of metabolite levels from the expression of the enzyme genes catalyzing them. Applying these predictors to a large cohort of breast cancer samples we find that depleted levels of key cancer-related metabolites including glucose, glycine, serine and acetate are significantly associated with improved patient survival. Thus, we show that the levels of a wide range of metabolites in breast cancer can be successfully predicted from the transcriptome, going beyond the limited set of those measured.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.